边缘计算:调查

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Wazir Zada Khan , Ejaz Ahmed , Saqib Hakak , Ibrar Yaqoob , Arif Ahmed
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引用次数: 553

摘要

近年来,边缘计算范式在学术界和工业界获得了相当大的普及。它通过将云计算设施和服务连接到最终用户,成为5G、物联网(IoT)、增强现实和车对车通信等许多未来技术的关键推动者。边缘计算范例为延迟敏感型应用程序提供低延迟、移动性和位置感知支持。在边缘计算领域进行了重要的研究,从移动边缘计算、Cloudlet和雾计算等最新发展方面进行了回顾,从而为研究人员提供了对现有解决方案和未来应用的更多见解。本文旨在全面介绍边缘计算的最新进展,重点介绍核心应用程序。它还讨论了边缘计算在现实生活场景中的重要性,其中响应时间构成了许多应用程序的基本要求。本文最后确定了边缘计算的需求,并讨论了边缘计算中开放的研究挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Edge computing: A survey

In recent years, the Edge computing paradigm has gained considerable popularity in academic and industrial circles. It serves as a key enabler for many future technologies like 5G, Internet of Things (IoT), augmented reality and vehicle-to-vehicle communications by connecting cloud computing facilities and services to the end users. The Edge computing paradigm provides low latency, mobility, and location awareness support to delay-sensitive applications. Significant research has been carried out in the area of Edge computing, which is reviewed in terms of latest developments such as Mobile Edge Computing, Cloudlet, and Fog computing, resulting in providing researchers with more insight into the existing solutions and future applications. This article is meant to serve as a comprehensive survey of recent advancements in Edge computing highlighting the core applications. It also discusses the importance of Edge computing in real life scenarios where response time constitutes the fundamental requirement for many applications. The article concludes with identifying the requirements and discuss open research challenges in Edge computing.

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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
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